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Cancer is one the dangerous disease for human mankind. There are different types of cancers and the dangerous among them is Brain tumor cancer. Though radilogists are able to diagnose the brain tumor, they find difficulties in identifying grade of brain tumor. In the digitally advanced field, the grade identification of brain tumor still seems a challenging task. There are multiple survey that study the identification of brain tumor. But identifying grade of brain tumor is one area which needs more focus. State of the art convolution network is an key algorithm to identify brain tumor grades. We explore convolution network with transfer learning techniques and data augmentation to achieve more accuracy in detecting appropriate grade of brain tumor. We also detail describe various techniques used prior to our study and how our study enhances from current mechanism.
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We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.